World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11384
World Ranking
4579
National Ranking
2140

Steven Swanson publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Steven Swanson sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Steven Swanson D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Steven Swanson sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Steven Swanson is affiliated with the University of California, San Diego in the United States. Their research primarily spans the field of Medicine, with a strong focus on subfields including Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery, and Computer Networks and Communications.

The scientist's work covers several main topics, reflecting a multidisciplinary approach within medical research. These topics include:

  • Lung Cancer Diagnosis and Treatment
  • Lung Cancer Treatments and Mutations
  • Radiomics and Machine Learning in Medical Imaging
  • Cancer Immunotherapy and Biomarkers
  • Advanced MRI Techniques and Applications
  • Pleural and Pulmonary Diseases
  • Head and Neck Cancer Studies

Swanson has contributed to numerous publications, working collaboratively with frequent co-authors such as Michael T. Jaklitsch, Abby White, Mark M. Awad, Emanuele Mazzola, and Daniel P. Dolan. These collaborations highlight an ongoing engagement with experts in related research areas.

Frequent publication venues for Swanson include:

  • Seminars in Thoracic and Cardiovascular Surgery
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • arXiv (Cornell University)
  • Journal of Thoracic and Cardiovascular Surgery
  • Journal of Clinical Oncology

Some recent papers authored or co-authored by Swanson are:

  • Brief Announcement: On Implementing Wear Leveling in Persistent Synchronization Structures, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Surgical outcomes from the phase 3 CheckMate 816 trial: Nivolumab (NIVO) + platinum-doublet chemotherapy (chemo) vs chemo alone as neoadjuvant treatment for patients with resectable non-small cell lung cancer (NSCLC), 2021, Journal of Clinical Oncology
  • Abstract CT003: Nivolumab (NIVO) + platinum-doublet chemotherapy (chemo) vs chemo as neoadjuvant treatment (tx) for resectable (IB-IIIA) non-small cell lung cancer (NSCLC) in the phase 3 CheckMate 816 trial, 2021, Cancer Research
  • Definition and assessment of high risk in patients considered for lobectomy for stage I non-small cell lung cancer: The American Association for Thoracic Surgery expert panel consensus document, 2021, Journal of Thoracic and Cardiovascular Surgery
  • The American Association for Thoracic Surgery (AATS) 2023 Expert Consensus Document: Staging and multidisciplinary management of patients with early-stage non-small cell lung cancer, 2023, Journal of Thoracic and Cardiovascular Surgery

Swanson's research intersections include imaging techniques, clinical oncology, lung cancer therapies, and surgical outcomes, with multiple studies focusing on immunotherapy and chemotherapy combinations in lung cancer treatment.

Best Publications

  • NV-Heaps: making persistent objects fast and safe with next-generation, non-volatile memories

    Joel Coburn;Adrian M. Caulfield;Ameen Akel;Laura M. Grupp

  • Conservation cores: reducing the energy of mature computations

    Ganesh Venkatesh;Jack Sampson;Nathan Goulding;Saturnino Garcia

  • Characterizing flash memory: anomalies, observations, and applications

    Laura M. Grupp;Adrian M. Caulfield;Joel Coburn;Steven Swanson

  • NOVA: a log-structured file system for hybrid volatile/non-volatile main memories

    Jian Xu;Steven Swanson

  • The bleak future of NAND flash memory

    Laura M. Grupp;John D. Davis;Steven Swanson

  • Moneta: A High-Performance Storage Array Architecture for Next-Generation, Non-volatile Memories

    Adrian M. Caulfield;Arup De;Joel Coburn;Todor I. Mollow

  • Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications

    Adrian M. Caulfield;Laura M. Grupp;Steven Swanson

  • System support for pervasive applications

    Robert Grimm;Janet Davis;Eric Lemar;Adam Macbeth

  • Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

    Joseph Izraelevitz;Jian Yang;Lu Zhang;Juno Kim

  • Near-Data Processing: Insights from a MICRO-46 Workshop

    Rajeev Balasubramonian;Jichuan Chang;Troy Manning;Jaime H. Moreno

  • Reliably erasing data from flash-based solid state drives

    Michael Wei;Laura M. Grupp;Frederick E. Spada;Steven Swanson

  • Providing safe, user space access to fast, solid state disks

    Adrian M. Caulfield;Todor I. Mollov;Louis Alex Eisner;Arup De

  • The WaveScalar architecture

    Steven Swanson;Andrew Schwerin;Martha Mercaldi;Andrew Petersen

  • The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future

    N Goulding-Hotta;J Sampson;G Venkatesh;S Garcia

  • WaveScalar

    Unknown

  • An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

    Jian Yang;Juno Kim;Morteza Hoseinzadeh;Joseph Izraelevitz

  • Mojim: A Reliable and Highly-Available Non-Volatile Memory System

    Yiying Zhang;Jian Yang;Amirsaman Memaripour;Steven Swanson

  • Understanding the Impact of Emerging Non-Volatile Memories on High-Performance, IO-Intensive Computing

    Adrian M. Caulfield;Joel Coburn;Todor Mollov;Arup De

  • Underdesigned and Opportunistic Computing in Presence of Hardware Variability

    P. Gupta;Y. Agarwal;L. Dolecek;N. Dutt

  • Willow: a user-programmable SSD

    Sudharsan Seshadri;Mark Gahagan;Sundaram Bhaskaran;Trevor Bunker

  • Onyx: a protoype phase change memory storage array

    Ameen Akel;Adrian M. Caulfield;Todor I. Mollov;Rajesh K. Gupta

Frequent Co-Authors

Michael Taylor
Michael Taylor University of Washington
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Susan J. Eggers
Susan J. Eggers University of Washington
Dean M. Tullsen
Dean M. Tullsen University of California, San Diego
Yannis Papakonstantinou
Yannis Papakonstantinou University of California, San Diego
Paul H. Siegel
Paul H. Siegel University of California, San Diego
Eitan Yaakobi
Eitan Yaakobi Technion – Israel Institute of Technology
Brian N. Bershad
Brian N. Bershad University of Washington
Gaetano Borriello
Gaetano Borriello University of Washington
Jack K. Wolf
Jack K. Wolf University of California, San Diego

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